Experimental project

This is a sandbox project, which contains experimental code for developer use only.

Drupal is a content management system that successfully powers around 1,000,000 websites on the internet. With every version of Drupal, it has evolved to be more and more robust. Its capability has grown from handling simple websites and blogs to heavy e-commerce website and even IoT through the recent development in decoupled Drupal. Analyzing the data helps to develop insights about it. For example, analyzing user feedbacks can help to understand their experience (like sentiment) and to improve it. Machine learning is a buzzword whose hype is getting increased day by day in the data analysis world. It is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. It automates analytical model building using algorithms that iteratively learn from data, to find hidden insights without being explicitly programmed where to look.

Cloud Machine Learning Engine makes it easy for us to build sophisticated, large-scale machine learning models that cover a broad set of scenarios of building sophisticated regression models to image classification. It brings the power and flexibility of TensorFlow to the cloud. We can use its components to select and extract features from our data, train our machine learning models, and get predictions using the managed resources of Google Cloud Platform.
It is portable, fully managed, and integrated with other Google Cloud Platform products that we can easily train our models.

It provides simple and powerful APIs to build Machine Learning models. Its cloud-based machine learning tools can be extended to applications like spam detection, recommendation systems, sentiment analysis and watchdog log analysis. It opens a new window to big data analysis.

Integrating automated data analysis capacity of Google Cloud with data handling capacity of Drupal can improve its scope to more advanced websites.

Supporting organizations: 

Project Information